Jobs in the United States

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Added 4 mins ago
Lead Applied Scientist, NBA – Reinforcement Learning
Humana
Charleston, WV
Develop and improve production ML pipelines using Python, PyTorch, Databricks, PySpark, Ray RLlib, and MLflow, supporting large-scale data processing, model training, and inference.
Added 4 mins ago
Data Scientist 1
Baylor Scott & White Health
Charleston, WV
internal tools that accelerate development and test whether outputs are accurate, useful, and reproducible.
Added 13 mins ago
Lead Applied Scientist, NBA – Reinforcement Learning
Humana
Indianapolis, IN
Develop and improve production ML pipelines using Python, PyTorch, Databricks, PySpark, Ray RLlib, and MLflow, supporting large-scale data processing, model training, and inference.
Added 13 mins ago
Data Scientist 1
Baylor Scott & White Health
Indianapolis, IN
internal tools that accelerate development and test whether outputs are accurate, useful, and reproducible.
Added 23 mins ago
Infrastructure Engineer III
JPMC page
Plano, TX
Proficiency in scripting/automation and infrastructure-as-code (Python, PowerShell, Ansible, Terraform) and fluency in at least one programming language (e.g., Python, GO, Shell Scripting,…
Added 27 mins ago
Senior ETL & Data Migration Engineer
CGI Technologies and Solutions, Inc.
Huntsville, AL
. Advanced scripting or automation expertise (Python, Bash, PowerShell, etc.).
Added 27 mins ago
Senior QA Automation Engineer
CGI Technologies and Solutions, Inc.
Huntsville, AL
CGI Federal is seeking a Senior QA Automation Engineer to lead automated testing and quality assurance activities across a major federal modernization and data migration program. This role…
Added 27 mins ago
Mid-Level ETL & Data Migration Engineer
CGI Technologies and Solutions, Inc.
Huntsville, AL
. Intermediate scripting or automation skills (Python, Bash, PowerShell, etc.).
Added 29 mins ago
TJ
Senior Software Engineer
Third-Party Job Posts
United States
- $140,000 to $180,000 USD / year
Write clean, well-tested, well-documented code and advocate for engineering best practices, test automation, maintainability, and operational excellence
Added 29 mins ago
TJ
Senior Software Engineer
Third-Party Job Posts
United States
- $140,000 to $180,000 USD / year
Write clean, well-tested, well-documented code and advocate for engineering best practices, test automation, maintainability, and operational excellence
Added 34 mins ago
Systems Engineer Stf - E4
Lockheed Martin
Owego, NY · Owego
Experience developing test automation within an Agile program environment.
Added 34 mins ago
Systems Engineer - E2
Lockheed Martin
Sunnyvale, CA · Sunnyvale
Proficiency in shell scripting and automation using Bash, Python, or Perl to streamline deployment, configuration, and routine operations
Added 38 mins ago
RHEL - Staff Full Stack Engineer
Lockheed Martin
Colorado Springs, CO · Colorado Springs
Experience automating Linux provisioning and administration using Ansible, Bash, Python, and RHEL Kickstarts
Added 40 mins ago
Computer Operations Technician
Great Lakes Bay Health Centers
Saginaw, MI
…tools. - Configure and maintain deployment task sequences and automation scripts. - Monitor enterprise endpoint health and compliance. - Coordinate hardware refreshes and equipment…
Added 40 mins ago
Senior Full Stack Software Engineer – Java, Spring Boot & Angular
HTC Global Services Inc
Dearborn, MI
Design, develop, test, deploy, and maintain web applications and software tools.
Added 40 mins ago
Generative AI Engineer
Apex Systems, Inc
Dearborn, MI
…develop, and implement AI-powered applications and intelligent automation solutions. This role will focus heavily on building Generative AI and agentic AI capabilities within a Google Cloud…
Added 40 mins ago
Senior AI Engineer – Google Cloud Platform (GCP) & Python
HTC Global Services Inc
Dearborn, MI
Senior AI Engineer – Google Cloud Platform (GCP) & Python Overview / Summary
Added 41 mins ago
RHEL - Sr. Full Stack Engineer - ExPat
Lockheed Martin
Colorado Springs, CO · Colorado Springs
Experience automating Linux provisioning and administration using Ansible, Bash, Python, and RHEL Kickstarts
Added 41 mins ago
Full Stack Engineer Sr - E3
Lockheed Martin
ON, CA
Experience with Infrastructure as Code, Orchestration and Automation
Added 42 mins ago
Electronic Engineer - SW Infrastructure
CORP-Corporate Office
United States
Collaborate and work in an engineering environment with Cloud & Application, Communications & Networking, Advanced Payload Technologies, Test Automation, DevSecOps, and Systems Test.
Added 58 mins ago
Data Architect
Lindus
United States
- You work with data programmatically, or are ready to build that skill quickly: Python, R, or SQL are used daily in this role, and you are expected to learn them on the job if you do not…
Added 1 hour ago
Advanced Controls Engineer
Vertiv
Westerville, OH
Requirements analysis: Requirements gathering, algorithm prototyping, data analysis, test campaign design
Added 1 hour ago
J
Associate Director, Marketing & Enrollment Analytics
Jobgether
Remote, United States
- $110,000 USD / year
…roadmap, establish standards for metrics and testing, and advance automation to support continuous performance monitoring. Working collaboratively with institutional analytics colleagues…
Added 2 hours ago
ASIC Design/SDC Engineer
Inabia Software & Consulting Inc.
San Jose, CA
…Proficient in industry-standard SDC/STA tools and scripting for automation, you excel at identifying and resolving timing issues across all design levels. You will collaborate with…
Added 2 hours ago
Principal Software Engineer/Developer
Fidelity Technology Group, LLC
Durham, NC
· Demonstrated Expertise building automation frameworks using XML, HTML, JSON, Cucumber, JUnit, Maven, Java, and Python; building automation scripts with XRAY and Jenkins, using Selenium…

Fidelity Technology Group, LLC

Director, Software Engineering

Westlake, TX, United States

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Job details

Apply by: Dec 15, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Fidelity will not provide immigration sponsorship for this position.

Job Description:

Position Description:

Leads the engineering implementations and architecture of cloud-based data engineering and advanced Artificial Intelligence (AI) & analytics platforms. Guides adoption of modern software engineering practices including Test-Driven Development (TDD), Continuous Integration/Continuous Delivery (CI/CD), and cloud-native architectures. Establishes and governs code quality metrics, deployment pipelines, and integration test coverage. Provides delivery status visibility using tools including Jira, Confluence, and Tableau dashboards. Applies Agile delivery models including Scrum, Kanban, and Scaled Agile Framework (SAFe) for enterprise-scale initiatives. Advances DevOps practices through automation of build, test, and deploy workflows. Ensures integration of observability, logging, and monitoring capabilities across analytics platforms. Manages implementation and operation of advanced analytics, data platforms, and Software as a Service (SaaS) solutions supporting workforce data use cases. Evaluates and approves analytics, Artificial Intelligence (AI), and data science platforms including vendor-delivered and managed services. Partners with cybersecurity, risk, compliance, data architecture, and Centers of Excellence (CoE) teams to ensure secure and compliant handling of associate and workforce data.

Primary Responsibilities:

Drives cloud based AI and advanced analytics strategy and delivery, leading cross functional teams to build scalable solutions, standardize data and model practices, and align capabilities with business priorities to improve decision making and operational efficiency.
Acts as a trusted partner and product leader, defining vision and roadmaps, enabling team empowerment and collaboration, and balancing business value, technology goals, and delivery constraints to ensure adoption, customer satisfaction, and sustained organizational growth.
Defines and communicates product vision, mission, and multi-year roadmap aligned to business priorities and technology transformation goals.
Serves as a trusted technology delivery partner translating business vision into actionable capabilities that drive value, adoption, and associate engagement.
Manages complex, cross-functional, enterprise-scale initiatives across distributed systems and microservices architectures.
Balances business value, technology goals, quality, delivery cost, Minimum Viable Product (MVP), and timelines to ensure effective delivery capability.
Establishes delivery milestones, timelines, capacity planning, and dependency management for complex initiatives.
Promotes enterprise-standard analytics consumption and delivery practices across business units.
Manages vendor relationships including contract negotiation, Service Level Agreement (SLA) governance, escalation management, and third-party platform oversight.
Ensures execution of third-party product upgrades, patching schedules, license renewals, and enterprise platform rollouts to maintain stability, security, and compliance.

Education and Experience:

Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, Management Information Systems, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Software Engineering (or closely related occupation) architecting, building, deploying, and monitoring real-time and batch pipelines for data engineering.

Or, alternatively, Master’s degree in Computer Science, Engineering, Information Technology, Information Systems, Management Information Systems, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Software Engineering (or closely related occupation) architecting, building, deploying, and monitoring real-time and batch pipelines for data engineering.

Skills and Knowledge:

Candidate must also possess:

· Demonstrated Expertise architecting, building, and deploying data pipelines on AWS cloud using AWS services (IAM, Glue, S3, Lambda, and EKS), Jenkins, Python, Airflow and Dynamo DB. · Demonstrated Expertise implementing Cloud-based ML or Data Engineering pipelines using Amazon Web Services (AWS) and using EMR, RDS PostgreSQL, Redshift, Athena, and Step functions. · Demonstrated Expertise developing real time streaming and batch data pipelines in support of data analytics, Machine Learning (ML), and Artificial Intelligence (AI) processing using Kafka, Apache Spark, Python, and AWS. · Demonstrated Expertise building and maintaining data engineering pipelines or AI pipelines using Jenkins, Terraform, SQS, API Gateway, and Dynamo DB. #PE1M2

Fidelity’s Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:

Category:

Information TechnologyPlease be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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Skills

Data engineering
Artificial intelligence
CI/CD
Jira
Atlassian Confluence
Tableau
Agile
Scrum
Kanban
Service-oriented modelling
Cybersecurity
Regulatory compliance
Decision making
Collaboration
Customer service
Microservices
Contract management
Computer science
Computer technology
AWS
Identity and access management
Jenkins
Python
Apache Airflow
Amazon DynamoDB
ML
EMR
PostgreSQL
Amazon Redshift
Data analysis
Machine learning
Apache Kafka
Apache Spark
IBM Terraform
Securities

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